Mitochondrial and lysosomal signaling orchestrates heterogeneous metabolic states of regulatory T cells
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 76 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 76 samples: 24 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
- Paper
- Mitochondrial and lysosomal signaling orchestrates heterogeneous metabolic states of regulatory T cellsScience immunology · 2025
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE262692_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1093004 and SRA study SRP497904. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 76 samples.
How we read this: 24 replicated groups read from 76 sample titles; they account for 76 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8170495 WT_SteadyState_GEX_rep1 WT_SteadyState_GEX
- GSM8170496 WT_SteadyState_GEX_rep2 WT_SteadyState_GEX
- GSM8170497 WT_Inflammation_GEX_rep1 WT_Inflammation_GEX
- GSM8170498 WT_Inflammation_GEX_rep2 WT_Inflammation_GEX
- GSM8170499 WT_SteadyState_VDJ_rep1 WT_SteadyState_VDJ
- GSM8170500 WT_SteadyState_VDJ_rep2 WT_SteadyState_VDJ
- GSM8170501 WT_Inflammation_VDJ_rep1 WT_Inflammation_VDJ
- GSM8170502 WT_Inflammation_VDJ_rep2 WT_Inflammation_VDJ
- GSM8170503 WT_Treg_scRNAseq_rep1 WT_Treg_scRNAseq
- GSM8170504 WT_Treg_scRNAseq_rep2 WT_Treg_scRNAseq
- GSM8170505 WT_Treg_scRNAseq_rep3 WT_Treg_scRNAseq
- GSM8170506 FlcnKO_Treg_scRNAseq_rep1 FlcnKO_Treg_scRNAseq
- GSM8170507 FlcnKO_Treg_scRNAseq_rep2 FlcnKO_Treg_scRNAseq
- GSM8173911 WT_Treg_rep1 WT_Treg
- GSM8173912 WT_Treg_rep2 WT_Treg
- GSM8173913 WT_Treg_rep3 WT_Treg
- GSM8173914 WT_Treg_rep4 WT_Treg
- GSM8173915 FlcnKO_Treg_rep1 FlcnKO_Treg
- GSM8173916 FlcnKO_Treg_rep2 FlcnKO_Treg
- GSM8173917 FlcnKO_Treg_rep3 FlcnKO_Treg
- GSM8173918 FlcnKO_Treg_rep4 FlcnKO_Treg
- GSM8199292 WT control_Treg_rep1 WT control_Treg
- GSM8199293 WT control_Treg_rep2 WT control_Treg
- GSM8199294 WT control_Treg_rep3 WT control_Treg
- GSM8199295 WT control_Treg_rep4 WT control_Treg
- GSM8199296 Opa1KO_Treg_rep1 Opa1KO_Treg
- GSM8199297 Opa1KO_Treg_rep2 Opa1KO_Treg
- GSM8199298 Opa1KO_Treg_rep3 Opa1KO_Treg
- GSM8199299 WT control_Treg_scRNAseq_rep1 WT control_Treg_scRNAseq
- GSM8199300 WT control_Treg_scRNAseq_rep2 WT control_Treg_scRNAseq
- GSM8199301 OPA1KO_Treg_scRNAseq_rep1 OPA1KO_Treg_scRNAseq
- GSM8199302 OPA1KO_Treg_scRNAseq_rep2 OPA1KO_Treg_scRNAseq
- GSM8209154 WT Treg rep1 WT Treg
- GSM8209155 WT Treg rep2 WT Treg
- GSM8209156 WT Treg rep3 WT Treg
- GSM8209157 WT Treg rep4 WT Treg
- GSM8209158 WT Treg rep5 WT Treg
- GSM8209159 Flcn KO Treg rep1 Flcn KO Treg
- GSM8209160 Flcn KO Treg rep2 Flcn KO Treg
- GSM8209161 Flcn KO Treg rep3 Flcn KO Treg
+ 36 more — browse all 76 samples with per-sample file links →
- GSE335147 Mitochondrial profiling across macrophage states reveals inhibition of IL-4/IL-13 reprogramming by the integrated stress response 24 samples shares mitochondrial, states
- GSE322779 Transcription factor TFEB antagonizes cardiac hypertrophy and failure by enhancing lysosomal capacity and mitochondrial function 16 samples shares mitochondrial, lysosomal
- GSE252463 Interpreting regulatory mechanisms of Hippo signaling through a deep learning sequence model 59 samples shares regulatory
- GSE99296 α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming 18 samples shares orchestrates
- GSE270622 SETDB1 Orchestrates Metabolic Reprogramming to Regulate Cell State Maintenance and Cell Fate Differentiation 16 samples shares orchestrates
- GSE255246 Intrauterine hyperglycemia during late gestation caused mitochondrial dysfunction in skeletal muscle of male offspring through CREB/PGC1A signaling 10 samples shares mitochondrial
- GSE294832 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part10] 1000 samples shares heterogeneous
- GSE294911 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part14] 1000 samples shares heterogeneous
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.